The last dataset on which the proposed framework is evaluated is the Zhang CXR dataset [1]}. Zhang dataset is originally designed to classify different retinal diseases via optical coherence tomography (OCT) imagery [1]}. However, it also contains CXRs depicting healthy and pneumonic pathologies. In the Zhang CXR dataset [1]}, 3,883 training scans depict pneumonic pathologies while 1,349 scans are from healthy subjects. Similarly, the testing set contains 390 pneumonic, and 234 healthy scans [1]}. Moreover, all of these scans are arranged within the dataset as per their depicted pathologies.
